announce for lab member. lasanear replace
for pool.py
This repository contains code for the paper "Stacked Generative Adversarial Networks", CVPR 2017. Part of the code is modified from OpenAI's implementation of Improved GAN.
| Method | Inception Score |
|---|---|
| Infusion training | 4.62 ± 0.06 |
| GMAN (best variant) | 5.34 ± 0.05 |
| LR-GAN | 6.11 ± 0.06 |
| EGAN-Ent-VI | 7.07 ± 0.10 |
| Denoising feature matching | 7.72 ± 0.13 |
| DCGAN | 6.58 |
| SteinGAN | 6.35 |
| Improved GAN（best variant) | 8.09 ± 0.07 |
| AC-GAN | 8.25 ± 0.07 |
| SGAN (ours) | 8.59 ± 0.12 |
If you use the code in this repository in your paper, please consider citing:
@inproceedings{huang2017sgan,
title={Stacked Generative Adversarial Networks},
author={Huang, Xun and Li, Yixuan and Poursaeed, Omid and Hopcroft, John and Belongie, Serge},
booktitle={CVPR},
year={2017}
}
If you have any questions about the code, feel free to email me (xh258@cornell.edu).